Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 22 HTTP transactions. The main domain is identity.bmospenddynamics.com and was registered NaN years ago.
Submitted URL: https://www.bmospenddynamics.com/
Effective URL: https://identity.bmospenddynamics.com/login?ReturnUrl=%2Fconnect%2Fauthorize%2Fcallback%3Fresponse_type%3Dcode%26client_id%3Dfraedom_website%26redirect_uri%3Dhttps%253A%252F%252Fwww.bmospenddynamics.com%252Faccount%252Fcallback%26scope%3Dread%2520write%2520offline_access%26ui_locales%3Den-ca%26state%3DeyJJc1JldHJ5UmVkaXJlY3QiOmZhbHNlLCJVbmlxdWVJZCI6IjRkMjUzYzhkYjVkMzQ5NDViMGQwYzZlOGE4OTk5Mzc1IiwiWHNsTGFuZ3VhZ2VJZCI6Ik1QX0JNT18wMSJ9%26nonce%3Defb66bc43c9c433285382597c6ec9463%26acr_values%3Dlanguage%253ABM_CAN_01%2520productSuffix%253ABMO_SD%2520browser%253AChrome%2520platform%253AWindows#!/loginRedirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate login page with no detected threats.
Safety Factors
Details
Page Title
Spend Dynamics | Log in
Scan Type
public
Language
English
Category
technology software
(31%)Domain Information
Within the commercial generic top-level domain (.com), 'www.bmospenddynamics.com' is registered with subdomain 'www'. Its registrable label 'bmospenddynamics' stretches across 16 characters holding four vowels versus 12 consonants. Breaking it apart gives 3 words: bmo, spend, dynamics. Average segment length settles at 5 characters. 'bmo' is most common in English usage. It also appears in Italian and Chinese (Pinyin) contexts.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 11 | 128.242.117.26 | Sacramento, California, United States | AS2914NTT-DATA-2914 |
| 11 | 128.242.118.204 | Sacramento, California, United States | AS2914NTT-DATA-2914 |
| 22 | 2 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data